Anton Wiehe

2019202020212022202320245 3 7 5 16 10

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Marco WieringInstitute of Artificial Intelligence and Cognitive Engineering, University of GroningenVerified email at rug.nl
Frank RöderHamburg University of TechnologyVerified email at tuhh.de
Hans-Peter Zorninovex GmbHVerified email at inovex.de
Chris BiemannProfessor for Language Technology, University of HamburgVerified email at informatik.uni-hamburg.de
Florian SchneiderPh.D. Candidate Universität HamburgVerified email at uni-hamburg.de
Xintong WangPh.D. Candidate at the University of HamburgVerified email at uni-hamburg.de

Anton Wiehe

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A recurrent machine learning model predicts intracranial hypertension in neurointensive care patients N Schweingruber, MMD Mader, A Wiehe, F Röder, J Göttsche, S Kluge, ... Brain 145 (8), 2910-2919, 2022	25	2022
Sampled policy gradient for learning to play the game agar. io AO Wiehe, NS Ansó, MM Drugan, MA Wiering arXiv preprint arXiv:1809.05763, 2018	12	2018
Deep reinforcement learning for pellet eating in agar. IO N Ansó, A Wiehe, M Drugan, M Wiering The 11th International Conference on Agents and Artificial Intelligence, 123-133, 2019	5	2019
Language over labels: Contrastive language supervision exceeds purely label-supervised classification performance on chest x-rays A Wiehe, F Schneider, S Blank, X Wang, HP Zorn, C Biemann Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022	3	2022
Domain Adaptation for Multi-Modal Foundation Models AO Wiehe Master Thesis, Universitat Hamburg, Hamburg, 2022	1	2022
Early prediction of ventricular peritoneal shunt dependency in aneurysmal subarachnoid haemorrhage patients by recurrent neural network-based machine learning using routine … N Schweingruber, J Bremer, A Wiehe, MMD Mader, C Mayer, MS Woo, ... Journal of Clinical Monitoring and Computing, 1-12, 2024		2024
Sampled Policy Gradient Compared to DPG, CACLA, and Q-Learning in the Game Agar. io A Wiehe		2018

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